Triple
T6327967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Difference Engine |
E141904
|
entity |
| Predicate | errorReductionGoal |
P70875
|
FINISHED |
| Object | eliminate human errors in table calculation |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: eliminate human errors in table calculation | Statement: [Difference Engine, errorReductionGoal, eliminate human errors in table calculation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorReductionGoal Context triple: [Difference Engine, errorReductionGoal, eliminate human errors in table calculation]
-
A.
noiseReductionGoal
Indicates the intended target level or objective for reducing noise in a given context or system.
-
B.
oversightGoal
Indicates that an entity has the purpose or objective of overseeing, supervising, or monitoring another entity, process, or activity.
-
C.
aimedToLimit
Indicates an action or policy that was intentionally directed toward restricting, reducing, or constraining something.
-
D.
restorationGoal
Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
-
E.
safetyGoal
Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:29 p.m.